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app.py

@@ -14,6 +14,7 @@ MAX_SEED = np.iinfo(np.int32).max
 TMP_DIR = os.path.join(current_path, 'out')
 os.makedirs(TMP_DIR, exist_ok=True)
 TAG = "gsdiff_gobj83k_sd15__render"
+subprocess.run(shlex.split("pip install wheel/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl"))
 
 # download checkpoints
 # subprocess.run(shlex.split("python3 download_ckpt.py --model_type pas")) # for txt condition

requirements.txt

@@ -22,3 +22,11 @@ pandas
 image-reward
 git+https://github.com/openai/CLIP.git
 deepspeed
+gradio 
+gradio_litmodel3d 
+easydict
+spaces
+triton
+wandb
+opencv-python==4.11.0.86
+